View source: R/functions_clusteringKmeans.R
reorder_clusters_hclust | R Documentation |
Applies hierarchical clustering to centroids of clusters to reorder.
reorder_clusters_hclust(
clust_dt,
hclust_result = NULL,
row_ = "id",
column_ = "x",
fill_ = "y",
facet_ = "sample",
cluster_ = "cluster_id",
reapply_cluster_names = TRUE,
return_hclust = FALSE
)
clust_dt |
data.table output from |
hclust_result |
hclust result returned by a previous call of this function with identical paramters when return_hclust = TRUE. |
row_ |
variable name mapped to row, likely id or gene name for ngs data. Default is "id" and works with ssvFetch* output. |
column_ |
varaible mapped to column, likely bp position for ngs data. Default is "x" and works with ssvFetch* output. |
fill_ |
numeric variable to map to fill. Default is "y" and works with ssvFetch* output. |
facet_ |
variable name to facet horizontally by. Default is "sample" and works with ssvFetch* output. Set to "" if data is not facetted. |
cluster_ |
variable name to use for cluster info. Default is "cluster_id". |
reapply_cluster_names |
If TRUE, clusters will be renamed according to new order instead of their original names. Default is TRUE. |
return_hclust |
If TRUE, return the result of hclust instead of the reordered clustering data.table. Default is FALSE. Ignored if hclust_result is supplied. |
data.table as output from ssvSignalClustering
data(CTCF_in_10a_profiles_dt)
clust_dt = ssvSignalClustering(CTCF_in_10a_profiles_dt, nclust = 10)
new_dt = reorder_clusters_hclust(clust_dt)
cowplot::plot_grid(
ssvSignalHeatmap(clust_dt),
ssvSignalHeatmap(new_dt)
)
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